Advanced Optimisation for Institutional Investors

Portfolio Construction Software
Build Smarter, Resilient Portfolios

Construct optimised multi-asset portfolios with precision. AlternativeSoft's portfolio construction platform delivers efficient frontier analysis, risk-return optimisation, scenario testing and full attribution — for hedge funds, private markets and liquid alternatives.

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150+
Institutional Clients
Worldwide
$1.5tn+
AuM Managed by
Our Clients
500k+
Funds in Our
Database
20+
Years of Excellence
Since 2005
Key Capabilities

Why Allocators Choose AlternativeSoft for Portfolio Construction

Institutional-grade tools to design, stress test and optimise complex multi-manager portfolios.

Efficient Frontier Analysis

Map the risk-return efficient frontier across all available funds. Identify the optimal allocation to maximise return for any given level of risk.

Portfolio Optimisation

Mean-variance, risk parity, minimum variance and Black-Litterman optimisation — with full support for alternative assets.

Scenario & Stress Testing

Simulate portfolio performance across market scenarios before deploying capital. Test resilience against historical crises and custom shocks.

Advanced Optimisation Across All Asset Classes
Portfolio Optimisation

Advanced Optimisation Across All Asset Classes

AlternativeSoft's portfolio construction engine supports every major optimisation methodology — from classic mean-variance to risk parity and factor-constrained approaches — across hedge funds, private markets and liquid alternatives.

  • Mean-variance optimisation: Markowitz efficient frontier with customisable constraints
  • Risk parity: equal risk contribution across all holdings
  • Black-Litterman: incorporate manager views into the optimisation process
  • Minimum variance: minimise total portfolio volatility subject to allocation constraints
  • Factor-constrained: control factor exposures within the optimised portfolio
  • Custom constraints: min/max weights, liquidity requirements, strategy limits
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What-If Portfolio Simulation
What-If Analysis

What-If Portfolio Simulation

Before allocating capital, simulate the impact on portfolio risk and return. AlternativeSoft's what-if engine lets you test new fund additions, position size changes and rebalancing strategies interactively.

  • Fund addition simulation: see the risk/return impact of adding any fund to the portfolio
  • Rebalancing analysis: model the effects of rebalancing before executing trades
  • Correlation impact: understand how a new fund changes portfolio correlations
  • Peer group comparison: benchmark the constructed portfolio against peer fund-of-funds
  • Contribution analysis: which holdings are adding or detracting from risk-adjusted performance
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Testimonials

Trusted by Leading Institutions

"

AlternativeSoft streamlines many useful performance-based analytics including portfolio optimisation, peer evaluation and relative analyses. One of the easiest softwares for portfolio what-if and customised fund fact sheets I have ever handled.

Aberdeen Asset Management
Head of Risk Management
★★★★★
"

AlternativeSoft is a practical and user-friendly tool used as part of our portfolio construction and risk management process. Their extensive support and responsiveness provides added value.

AllianceBernstein
Risk Management & Portfolio Construction
★★★★★
"

From statistical analysis on a single hedge fund, screening the investment universe, peer group analysis, portfolio construction to risk analysis and stress testing — one of the most effective, intuitive, and efficient tools I have handled.

BNP Paribas Capital Partners
Hedge Fund Solutions
★★★★★
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See AlternativeSoft
in Action

Join 150+ institutional investors. Book a personalised demo tailored to your needs today.

  • Live walkthrough of the full platform
  • Tailored to your investment mandate
  • Q&A with our investment analytics specialists
  • Free trial access following the demo
Hedgeweek Best Risk Management Software — voted by clients 4 years running
UK: 10 Lower Thames Street, London EC3R 6AF

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